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  <h1>Social Media</h1>

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        0px 6px 30px 5px var(--jp-shadow-ambient-color);
    --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color),
        0px 20px 31px 3px var(--jp-shadow-penumbra-color),
        0px 8px 38px 7px var(--jp-shadow-ambient-color);
    --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color),
        0px 24px 38px 3px var(--jp-shadow-penumbra-color),
        0px 9px 46px 8px var(--jp-shadow-ambient-color);

    /* Borders
   *
   * The following variables, specify the visual styling of borders in JupyterLab.
   */

    --jp-border-width: 1px;
    --jp-border-color0: var(--md-grey-400);
    --jp-border-color1: var(--md-grey-400);
    --jp-border-color2: var(--md-grey-300);
    --jp-border-color3: var(--md-grey-200);
    --jp-border-radius: 2px;

    /* UI Fonts
   *
   * The UI font CSS variables are used for the typography all of the JupyterLab
   * user interface elements that are not directly user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

    --jp-ui-font-scale-factor: 1.2;
    --jp-ui-font-size0: 0.83333em;
    --jp-ui-font-size1: 13px; /* Base font size */
    --jp-ui-font-size2: 1.2em;
    --jp-ui-font-size3: 1.44em;

    --jp-ui-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI",
        Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
        "Segoe UI Symbol";

    /*
   * Use these font colors against the corresponding main layout colors.
   * In a light theme, these go from dark to light.
   */

    /* Defaults use Material Design specification */
    --jp-ui-font-color0: rgba(0, 0, 0, 1);
    --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
    --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
    --jp-ui-font-color3: rgba(0, 0, 0, 0.38);

    /*
   * Use these against the brand/accent/warn/error colors.
   * These will typically go from light to darker, in both a dark and light theme.
   */

    --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
    --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
    --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
    --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);

    /* Content Fonts
   *
   * Content font variables are used for typography of user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

    --jp-content-line-height: 1.6;
    --jp-content-font-scale-factor: 1.2;
    --jp-content-font-size0: 0.83333em;
    --jp-content-font-size1: 14px; /* Base font size */
    --jp-content-font-size2: 1.2em;
    --jp-content-font-size3: 1.44em;
    --jp-content-font-size4: 1.728em;
    --jp-content-font-size5: 2.0736em;

    /* This gives a magnification of about 125% in presentation mode over normal. */
    --jp-content-presentation-font-size1: 17px;

    --jp-content-heading-line-height: 1;
    --jp-content-heading-margin-top: 1.2em;
    --jp-content-heading-margin-bottom: 0.8em;
    --jp-content-heading-font-weight: 500;

    /* Defaults use Material Design specification */
    --jp-content-font-color0: rgba(0, 0, 0, 1);
    --jp-content-font-color1: rgba(0, 0, 0, 0.87);
    --jp-content-font-color2: rgba(0, 0, 0, 0.54);
    --jp-content-font-color3: rgba(0, 0, 0, 0.38);

    --jp-content-link-color: var(--md-blue-700);

    --jp-content-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI",
        Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
        "Segoe UI Symbol";

    /*
   * Code Fonts
   *
   * Code font variables are used for typography of code and other monospaces content.
   */

    --jp-code-font-size: 13px;
    --jp-code-line-height: 1.3077; /* 17px for 13px base */
    --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
    --jp-code-font-family-default: Menlo, Consolas, "DejaVu Sans Mono",
        monospace;
    --jp-code-font-family: var(--jp-code-font-family-default);

    /* This gives a magnification of about 125% in presentation mode over normal. */
    --jp-code-presentation-font-size: 16px;

    /* may need to tweak cursor width if you change font size */
    --jp-code-cursor-width0: 1.4px;
    --jp-code-cursor-width1: 2px;
    --jp-code-cursor-width2: 4px;

    /* Layout
   *
   * The following are the main layout colors use in JupyterLab. In a light
   * theme these would go from light to dark.
   */

    --jp-layout-color0: white;
    --jp-layout-color1: white;
    --jp-layout-color2: var(--md-grey-200);
    --jp-layout-color3: var(--md-grey-400);
    --jp-layout-color4: var(--md-grey-600);

    /* Inverse Layout
   *
   * The following are the inverse layout colors use in JupyterLab. In a light
   * theme these would go from dark to light.
   */

    --jp-inverse-layout-color0: #111111;
    --jp-inverse-layout-color1: var(--md-grey-900);
    --jp-inverse-layout-color2: var(--md-grey-800);
    --jp-inverse-layout-color3: var(--md-grey-700);
    --jp-inverse-layout-color4: var(--md-grey-600);

    /* Brand/accent */

    --jp-brand-color0: var(--md-blue-900);
    --jp-brand-color1: var(--md-blue-700);
    --jp-brand-color2: var(--md-blue-300);
    --jp-brand-color3: var(--md-blue-100);
    --jp-brand-color4: var(--md-blue-50);

    --jp-accent-color0: var(--md-green-900);
    --jp-accent-color1: var(--md-green-700);
    --jp-accent-color2: var(--md-green-300);
    --jp-accent-color3: var(--md-green-100);

    /* State colors (warn, error, success, info) */

    --jp-warn-color0: var(--md-orange-900);
    --jp-warn-color1: var(--md-orange-700);
    --jp-warn-color2: var(--md-orange-300);
    --jp-warn-color3: var(--md-orange-100);

    --jp-error-color0: var(--md-red-900);
    --jp-error-color1: var(--md-red-700);
    --jp-error-color2: var(--md-red-300);
    --jp-error-color3: var(--md-red-100);

    --jp-success-color0: var(--md-green-900);
    --jp-success-color1: var(--md-green-700);
    --jp-success-color2: var(--md-green-300);
    --jp-success-color3: var(--md-green-100);

    --jp-info-color0: var(--md-cyan-900);
    --jp-info-color1: var(--md-cyan-700);
    --jp-info-color2: var(--md-cyan-300);
    --jp-info-color3: var(--md-cyan-100);

    /* Cell specific styles */

    --jp-cell-padding: 5px;

    --jp-cell-collapser-width: 8px;
    --jp-cell-collapser-min-height: 20px;
    --jp-cell-collapser-not-active-hover-opacity: 0.6;

    --jp-cell-editor-background: var(--md-grey-100);
    --jp-cell-editor-border-color: var(--md-grey-300);
    --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
    --jp-cell-editor-active-background: var(--jp-layout-color0);
    --jp-cell-editor-active-border-color: var(--jp-brand-color1);

    --jp-cell-prompt-width: 64px;
    --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
    --jp-cell-prompt-letter-spacing: 0px;
    --jp-cell-prompt-opacity: 1;
    --jp-cell-prompt-not-active-opacity: 0.5;
    --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
    /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
    --jp-cell-inprompt-font-color: #307fc1;
    /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
    --jp-cell-outprompt-font-color: #bf5b3d;

    /* Notebook specific styles */

    --jp-notebook-padding: 10px;
    --jp-notebook-select-background: var(--jp-layout-color1);
    --jp-notebook-multiselected-color: var(--md-blue-50);

    /* The scroll padding is calculated to fill enough space at the bottom of the
  notebook to show one single-line cell (with appropriate padding) at the top
  when the notebook is scrolled all the way to the bottom. We also subtract one
  pixel so that no scrollbar appears if we have just one single-line cell in the
  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
  */
    --jp-notebook-scroll-padding: calc(
        100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
            var(--jp-code-padding) - var(--jp-cell-padding) - 1px
    );

    /* Rendermime styles */

    --jp-rendermime-error-background: #fdd;
    --jp-rendermime-table-row-background: var(--md-grey-100);
    --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);

    /* Dialog specific styles */

    --jp-dialog-background: rgba(0, 0, 0, 0.25);

    /* Console specific styles */

    --jp-console-padding: 10px;

    /* Toolbar specific styles */

    --jp-toolbar-border-color: var(--jp-border-color1);
    --jp-toolbar-micro-height: 8px;
    --jp-toolbar-background: var(--jp-layout-color1);
    --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.24);
    --jp-toolbar-header-margin: 4px 4px 0px 4px;
    --jp-toolbar-active-background: var(--md-grey-300);

    /* Statusbar specific styles */

    --jp-statusbar-height: 24px;

    /* Input field styles */

    --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
    --jp-input-active-background: var(--jp-layout-color1);
    --jp-input-hover-background: var(--jp-layout-color1);
    --jp-input-background: var(--md-grey-100);
    --jp-input-border-color: var(--jp-border-color1);
    --jp-input-active-border-color: var(--jp-brand-color1);
    --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);

    /* General editor styles */

    --jp-editor-selected-background: #d9d9d9;
    --jp-editor-selected-focused-background: #d7d4f0;
    --jp-editor-cursor-color: var(--jp-ui-font-color0);

    /* Code mirror specific styles */

    --jp-mirror-editor-keyword-color: #008000;
    --jp-mirror-editor-atom-color: #88f;
    --jp-mirror-editor-number-color: #080;
    --jp-mirror-editor-def-color: #00f;
    --jp-mirror-editor-variable-color: var(--md-grey-900);
    --jp-mirror-editor-variable-2-color: #05a;
    --jp-mirror-editor-variable-3-color: #085;
    --jp-mirror-editor-punctuation-color: #05a;
    --jp-mirror-editor-property-color: #05a;
    --jp-mirror-editor-operator-color: #aa22ff;
    --jp-mirror-editor-comment-color: #408080;
    --jp-mirror-editor-string-color: #ba2121;
    --jp-mirror-editor-string-2-color: #708;
    --jp-mirror-editor-meta-color: #aa22ff;
    --jp-mirror-editor-qualifier-color: #555;
    --jp-mirror-editor-builtin-color: #008000;
    --jp-mirror-editor-bracket-color: #997;
    --jp-mirror-editor-tag-color: #170;
    --jp-mirror-editor-attribute-color: #00c;
    --jp-mirror-editor-header-color: blue;
    --jp-mirror-editor-quote-color: #090;
    --jp-mirror-editor-link-color: #00c;
    --jp-mirror-editor-error-color: #f00;
    --jp-mirror-editor-hr-color: #999;

    /* Vega extension styles */

    --jp-vega-background: white;

    /* Sidebar-related styles */

    --jp-sidebar-min-width: 250px;

    /* Search-related styles */

    --jp-search-toggle-off-opacity: 0.5;
    --jp-search-toggle-hover-opacity: 0.8;
    --jp-search-toggle-on-opacity: 1;
    --jp-search-selected-match-background-color: rgb(245, 200, 0);
    --jp-search-selected-match-color: black;
    --jp-search-unselected-match-background-color: var(
        --jp-inverse-layout-color0
    );
    --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);

    /* Icon colors that work well with light or dark backgrounds */
    --jp-icon-contrast-color0: var(--md-purple-600);
    --jp-icon-contrast-color1: var(--md-green-600);
    --jp-icon-contrast-color2: var(--md-pink-600);
    --jp-icon-contrast-color3: var(--md-blue-600);
}

[data-md-color-scheme="slate"] .jupyter-wrapper {
    /* Elevation
   *
   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
   *
   * https://github.com/material-components/material-components-web
   * https://material-components-web.appspot.com/elevation.html
   */

    /* The dark theme shadows need a bit of work, but this will probably also require work on the core layout
   * colors used in the theme as well. */
    --jp-shadow-base-lightness: 32;
    --jp-shadow-umbra-color: rgba(
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        0.2
    );
    --jp-shadow-penumbra-color: rgba(
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        0.14
    );
    --jp-shadow-ambient-color: rgba(
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        var(--jp-shadow-base-lightness),
        0.12
    );
    --jp-elevation-z0: none;
    --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color),
        0px 1px 1px 0px var(--jp-shadow-penumbra-color),
        0px 1px 3px 0px var(--jp-shadow-ambient-color);
    --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color),
        0px 2px 2px 0px var(--jp-shadow-penumbra-color),
        0px 1px 5px 0px var(--jp-shadow-ambient-color);
    --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color),
        0px 4px 5px 0px var(--jp-shadow-penumbra-color),
        0px 1px 10px 0px var(--jp-shadow-ambient-color);
    --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color),
        0px 6px 10px 0px var(--jp-shadow-penumbra-color),
        0px 1px 18px 0px var(--jp-shadow-ambient-color);
    --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color),
        0px 8px 10px 1px var(--jp-shadow-penumbra-color),
        0px 3px 14px 2px var(--jp-shadow-ambient-color);
    --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color),
        0px 12px 17px 2px var(--jp-shadow-penumbra-color),
        0px 5px 22px 4px var(--jp-shadow-ambient-color);
    --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color),
        0px 16px 24px 2px var(--jp-shadow-penumbra-color),
        0px 6px 30px 5px var(--jp-shadow-ambient-color);
    --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color),
        0px 20px 31px 3px var(--jp-shadow-penumbra-color),
        0px 8px 38px 7px var(--jp-shadow-ambient-color);
    --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color),
        0px 24px 38px 3px var(--jp-shadow-penumbra-color),
        0px 9px 46px 8px var(--jp-shadow-ambient-color);

    /* Borders
   *
   * The following variables, specify the visual styling of borders in JupyterLab.
   */

    --jp-border-width: 1px;
    --jp-border-color0: var(--md-grey-700);
    --jp-border-color1: var(--md-grey-700);
    --jp-border-color2: var(--md-grey-800);
    --jp-border-color3: var(--md-grey-900);
    --jp-border-radius: 2px;

    /* UI Fonts
   *
   * The UI font CSS variables are used for the typography all of the JupyterLab
   * user interface elements that are not directly user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

    --jp-ui-font-scale-factor: 1.2;
    --jp-ui-font-size0: 0.83333em;
    --jp-ui-font-size1: 13px; /* Base font size */
    --jp-ui-font-size2: 1.2em;
    --jp-ui-font-size3: 1.44em;

    --jp-ui-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI",
        Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
        "Segoe UI Symbol";

    /*
   * Use these font colors against the corresponding main layout colors.
   * In a light theme, these go from dark to light.
   */

    /* Defaults use Material Design specification */
    --jp-ui-font-color0: rgba(255, 255, 255, 1);
    --jp-ui-font-color1: rgba(255, 255, 255, 0.87);
    --jp-ui-font-color2: rgba(255, 255, 255, 0.54);
    --jp-ui-font-color3: rgba(255, 255, 255, 0.38);

    /*
   * Use these against the brand/accent/warn/error colors.
   * These will typically go from light to darker, in both a dark and light theme.
   */

    --jp-ui-inverse-font-color0: rgba(0, 0, 0, 1);
    --jp-ui-inverse-font-color1: rgba(0, 0, 0, 0.8);
    --jp-ui-inverse-font-color2: rgba(0, 0, 0, 0.5);
    --jp-ui-inverse-font-color3: rgba(0, 0, 0, 0.3);

    /* Content Fonts
   *
   * Content font variables are used for typography of user generated content.
   *
   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
   * is applied to a parent element. When children elements, such as headings, are sized
   * in em all things will be computed relative to that body size.
   */

    --jp-content-line-height: 1.6;
    --jp-content-font-scale-factor: 1.2;
    --jp-content-font-size0: 0.83333em;
    --jp-content-font-size1: 14px; /* Base font size */
    --jp-content-font-size2: 1.2em;
    --jp-content-font-size3: 1.44em;
    --jp-content-font-size4: 1.728em;
    --jp-content-font-size5: 2.0736em;

    /* This gives a magnification of about 125% in presentation mode over normal. */
    --jp-content-presentation-font-size1: 17px;

    --jp-content-heading-line-height: 1;
    --jp-content-heading-margin-top: 1.2em;
    --jp-content-heading-margin-bottom: 0.8em;
    --jp-content-heading-font-weight: 500;

    /* Defaults use Material Design specification */
    --jp-content-font-color0: rgba(255, 255, 255, 1);
    --jp-content-font-color1: rgba(255, 255, 255, 1);
    --jp-content-font-color2: rgba(255, 255, 255, 0.7);
    --jp-content-font-color3: rgba(255, 255, 255, 0.5);

    --jp-content-link-color: var(--md-blue-300);

    --jp-content-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI",
        Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
        "Segoe UI Symbol";

    /*
   * Code Fonts
   *
   * Code font variables are used for typography of code and other monospaces content.
   */

    --jp-code-font-size: 13px;
    --jp-code-line-height: 1.3077; /* 17px for 13px base */
    --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
    --jp-code-font-family-default: Menlo, Consolas, "DejaVu Sans Mono",
        monospace;
    --jp-code-font-family: var(--jp-code-font-family-default);

    /* This gives a magnification of about 125% in presentation mode over normal. */
    --jp-code-presentation-font-size: 16px;

    /* may need to tweak cursor width if you change font size */
    --jp-code-cursor-width0: 1.4px;
    --jp-code-cursor-width1: 2px;
    --jp-code-cursor-width2: 4px;

    /* Layout
   *
   * The following are the main layout colors use in JupyterLab. In a light
   * theme these would go from light to dark.
   */

    --jp-layout-color0: #111111;
    --jp-layout-color1: var(--md-grey-900);
    --jp-layout-color2: var(--md-grey-800);
    --jp-layout-color3: var(--md-grey-700);
    --jp-layout-color4: var(--md-grey-600);

    /* Inverse Layout
   *
   * The following are the inverse layout colors use in JupyterLab. In a light
   * theme these would go from dark to light.
   */

    --jp-inverse-layout-color0: white;
    --jp-inverse-layout-color1: white;
    --jp-inverse-layout-color2: var(--md-grey-200);
    --jp-inverse-layout-color3: var(--md-grey-400);
    --jp-inverse-layout-color4: var(--md-grey-600);

    /* Brand/accent */

    --jp-brand-color0: var(--md-blue-700);
    --jp-brand-color1: var(--md-blue-500);
    --jp-brand-color2: var(--md-blue-300);
    --jp-brand-color3: var(--md-blue-100);
    --jp-brand-color4: var(--md-blue-50);

    --jp-accent-color0: var(--md-green-700);
    --jp-accent-color1: var(--md-green-500);
    --jp-accent-color2: var(--md-green-300);
    --jp-accent-color3: var(--md-green-100);

    /* State colors (warn, error, success, info) */

    --jp-warn-color0: var(--md-orange-700);
    --jp-warn-color1: var(--md-orange-500);
    --jp-warn-color2: var(--md-orange-300);
    --jp-warn-color3: var(--md-orange-100);

    --jp-error-color0: var(--md-red-700);
    --jp-error-color1: var(--md-red-500);
    --jp-error-color2: var(--md-red-300);
    --jp-error-color3: var(--md-red-100);

    --jp-success-color0: var(--md-green-700);
    --jp-success-color1: var(--md-green-500);
    --jp-success-color2: var(--md-green-300);
    --jp-success-color3: var(--md-green-100);

    --jp-info-color0: var(--md-cyan-700);
    --jp-info-color1: var(--md-cyan-500);
    --jp-info-color2: var(--md-cyan-300);
    --jp-info-color3: var(--md-cyan-100);

    /* Cell specific styles */

    --jp-cell-padding: 5px;

    --jp-cell-collapser-width: 8px;
    --jp-cell-collapser-min-height: 20px;
    --jp-cell-collapser-not-active-hover-opacity: 0.6;

    --jp-cell-editor-background: var(--jp-layout-color1);
    --jp-cell-editor-border-color: var(--md-grey-700);
    --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
    --jp-cell-editor-active-background: var(--jp-layout-color0);
    --jp-cell-editor-active-border-color: var(--jp-brand-color1);

    --jp-cell-prompt-width: 64px;
    --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
    --jp-cell-prompt-letter-spacing: 0px;
    --jp-cell-prompt-opacity: 1;
    --jp-cell-prompt-not-active-opacity: 1;
    --jp-cell-prompt-not-active-font-color: var(--md-grey-300);

    /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
    --jp-cell-inprompt-font-color: #307fc1;
    /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
    --jp-cell-outprompt-font-color: #bf5b3d;

    /* Notebook specific styles */

    --jp-notebook-padding: 10px;
    --jp-notebook-select-background: var(--jp-layout-color1);
    --jp-notebook-multiselected-color: rgba(33, 150, 243, 0.24);

    /* The scroll padding is calculated to fill enough space at the bottom of the
  notebook to show one single-line cell (with appropriate padding) at the top
  when the notebook is scrolled all the way to the bottom. We also subtract one
  pixel so that no scrollbar appears if we have just one single-line cell in the
  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
  */
    --jp-notebook-scroll-padding: calc(
        100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
            var(--jp-code-padding) - var(--jp-cell-padding) - 1px
    );

    /* Rendermime styles */

    --jp-rendermime-error-background: rgba(244, 67, 54, 0.28);
    --jp-rendermime-table-row-background: var(--md-grey-900);
    --jp-rendermime-table-row-hover-background: rgba(3, 169, 244, 0.2);

    /* Dialog specific styles */

    --jp-dialog-background: rgba(0, 0, 0, 0.6);

    /* Console specific styles */

    --jp-console-padding: 10px;

    /* Toolbar specific styles */

    --jp-toolbar-border-color: var(--jp-border-color2);
    --jp-toolbar-micro-height: 8px;
    --jp-toolbar-background: var(--jp-layout-color1);
    --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.8);
    --jp-toolbar-header-margin: 4px 4px 0px 4px;
    --jp-toolbar-active-background: var(--jp-layout-color0);

    /* Statusbar specific styles */

    --jp-statusbar-height: 24px;

    /* Input field styles */

    --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
    --jp-input-active-background: var(--jp-layout-color0);
    --jp-input-hover-background: var(--jp-layout-color2);
    --jp-input-background: var(--md-grey-800);
    --jp-input-border-color: var(--jp-border-color1);
    --jp-input-active-border-color: var(--jp-brand-color1);
    --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);

    /* General editor styles */

    --jp-editor-selected-background: var(--jp-layout-color2);
    --jp-editor-selected-focused-background: rgba(33, 150, 243, 0.24);
    --jp-editor-cursor-color: var(--jp-ui-font-color0);

    /* Code mirror specific styles */

    --jp-mirror-editor-keyword-color: var(--md-green-500);
    --jp-mirror-editor-atom-color: var(--md-blue-300);
    --jp-mirror-editor-number-color: var(--md-green-400);
    --jp-mirror-editor-def-color: var(--md-blue-600);
    --jp-mirror-editor-variable-color: var(--md-grey-300);
    --jp-mirror-editor-variable-2-color: var(--md-blue-400);
    --jp-mirror-editor-variable-3-color: var(--md-green-600);
    --jp-mirror-editor-punctuation-color: var(--md-blue-400);
    --jp-mirror-editor-property-color: var(--md-blue-400);
    --jp-mirror-editor-operator-color: #aa22ff;
    --jp-mirror-editor-comment-color: #408080;
    --jp-mirror-editor-string-color: #ff7070;
    --jp-mirror-editor-string-2-color: var(--md-purple-300);
    --jp-mirror-editor-meta-color: #aa22ff;
    --jp-mirror-editor-qualifier-color: #555;
    --jp-mirror-editor-builtin-color: var(--md-green-600);
    --jp-mirror-editor-bracket-color: #997;
    --jp-mirror-editor-tag-color: var(--md-green-700);
    --jp-mirror-editor-attribute-color: var(--md-blue-700);
    --jp-mirror-editor-header-color: var(--md-blue-500);
    --jp-mirror-editor-quote-color: var(--md-green-300);
    --jp-mirror-editor-link-color: var(--md-blue-700);
    --jp-mirror-editor-error-color: #f00;
    --jp-mirror-editor-hr-color: #999;

    /* Vega extension styles */

    --jp-vega-background: var(--md-grey-400);

    /* Sidebar-related styles */

    --jp-sidebar-min-width: 250px;

    /* Search-related styles */

    --jp-search-toggle-off-opacity: 0.6;
    --jp-search-toggle-hover-opacity: 0.8;
    --jp-search-toggle-on-opacity: 1;
    --jp-search-selected-match-background-color: rgb(255, 225, 0);
    --jp-search-selected-match-color: black;
    --jp-search-unselected-match-background-color: var(
        --jp-inverse-layout-color0
    );
    --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);

    /* scrollbar related styles. Supports every browser except Edge. */

    /* colors based on JetBrain's Darcula theme */

    --jp-scrollbar-background-color: #3f4244;
    --jp-scrollbar-thumb-color: 88, 96, 97; /* need to specify thumb color as an RGB triplet */

    --jp-scrollbar-endpad: 3px; /* the minimum gap between the thumb and the ends of a scrollbar */

    /* hacks for setting the thumb shape. These do nothing in Firefox */

    --jp-scrollbar-thumb-margin: 3.5px; /* the space in between the sides of the thumb and the track */
    --jp-scrollbar-thumb-radius: 9px; /* set to a large-ish value for rounded endcaps on the thumb */

    /* Icon colors that work well with light or dark backgrounds */
    --jp-icon-contrast-color0: var(--md-purple-600);
    --jp-icon-contrast-color1: var(--md-green-600);
    --jp-icon-contrast-color2: var(--md-pink-600);
    --jp-icon-contrast-color3: var(--md-blue-600);
}

:root{--md-red-50: #ffebee;--md-red-100: #ffcdd2;--md-red-200: #ef9a9a;--md-red-300: #e57373;--md-red-400: #ef5350;--md-red-500: #f44336;--md-red-600: #e53935;--md-red-700: #d32f2f;--md-red-800: #c62828;--md-red-900: #b71c1c;--md-red-A100: #ff8a80;--md-red-A200: #ff5252;--md-red-A400: #ff1744;--md-red-A700: #d50000;--md-pink-50: #fce4ec;--md-pink-100: #f8bbd0;--md-pink-200: #f48fb1;--md-pink-300: #f06292;--md-pink-400: #ec407a;--md-pink-500: #e91e63;--md-pink-600: #d81b60;--md-pink-700: #c2185b;--md-pink-800: #ad1457;--md-pink-900: #880e4f;--md-pink-A100: #ff80ab;--md-pink-A200: #ff4081;--md-pink-A400: #f50057;--md-pink-A700: #c51162;--md-purple-50: #f3e5f5;--md-purple-100: #e1bee7;--md-purple-200: #ce93d8;--md-purple-300: #ba68c8;--md-purple-400: #ab47bc;--md-purple-500: #9c27b0;--md-purple-600: #8e24aa;--md-purple-700: #7b1fa2;--md-purple-800: #6a1b9a;--md-purple-900: #4a148c;--md-purple-A100: #ea80fc;--md-purple-A200: #e040fb;--md-purple-A400: #d500f9;--md-purple-A700: #aa00ff;--md-deep-purple-50: #ede7f6;--md-deep-purple-100: #d1c4e9;--md-deep-purple-200: #b39ddb;--md-deep-purple-300: #9575cd;--md-deep-purple-400: #7e57c2;--md-deep-purple-500: #673ab7;--md-deep-purple-600: #5e35b1;--md-deep-purple-700: #512da8;--md-deep-purple-800: #4527a0;--md-deep-purple-900: #311b92;--md-deep-purple-A100: #b388ff;--md-deep-purple-A200: #7c4dff;--md-deep-purple-A400: #651fff;--md-deep-purple-A700: #6200ea;--md-indigo-50: #e8eaf6;--md-indigo-100: #c5cae9;--md-indigo-200: #9fa8da;--md-indigo-300: #7986cb;--md-indigo-400: #5c6bc0;--md-indigo-500: #3f51b5;--md-indigo-600: #3949ab;--md-indigo-700: #303f9f;--md-indigo-800: #283593;--md-indigo-900: #1a237e;--md-indigo-A100: #8c9eff;--md-indigo-A200: #536dfe;--md-indigo-A400: #3d5afe;--md-indigo-A700: #304ffe;--md-blue-50: #e3f2fd;--md-blue-100: #bbdefb;--md-blue-200: #90caf9;--md-blue-300: #64b5f6;--md-blue-400: #42a5f5;--md-blue-500: #2196f3;--md-blue-600: #1e88e5;--md-blue-700: #1976d2;--md-blue-800: #1565c0;--md-blue-900: #0d47a1;--md-blue-A100: #82b1ff;--md-blue-A200: #448aff;--md-blue-A400: #2979ff;--md-blue-A700: #2962ff;--md-light-blue-50: #e1f5fe;--md-light-blue-100: #b3e5fc;--md-light-blue-200: #81d4fa;--md-light-blue-300: #4fc3f7;--md-light-blue-400: #29b6f6;--md-light-blue-500: #03a9f4;--md-light-blue-600: #039be5;--md-light-blue-700: #0288d1;--md-light-blue-800: #0277bd;--md-light-blue-900: #01579b;--md-light-blue-A100: #80d8ff;--md-light-blue-A200: #40c4ff;--md-light-blue-A400: #00b0ff;--md-light-blue-A700: #0091ea;--md-cyan-50: #e0f7fa;--md-cyan-100: #b2ebf2;--md-cyan-200: #80deea;--md-cyan-300: #4dd0e1;--md-cyan-400: #26c6da;--md-cyan-500: #00bcd4;--md-cyan-600: #00acc1;--md-cyan-700: #0097a7;--md-cyan-800: #00838f;--md-cyan-900: #006064;--md-cyan-A100: #84ffff;--md-cyan-A200: #18ffff;--md-cyan-A400: #00e5ff;--md-cyan-A700: #00b8d4;--md-teal-50: #e0f2f1;--md-teal-100: #b2dfdb;--md-teal-200: #80cbc4;--md-teal-300: #4db6ac;--md-teal-400: #26a69a;--md-teal-500: #009688;--md-teal-600: #00897b;--md-teal-700: #00796b;--md-teal-800: #00695c;--md-teal-900: #004d40;--md-teal-A100: #a7ffeb;--md-teal-A200: #64ffda;--md-teal-A400: #1de9b6;--md-teal-A700: #00bfa5;--md-green-50: #e8f5e9;--md-green-100: #c8e6c9;--md-green-200: #a5d6a7;--md-green-300: #81c784;--md-green-400: #66bb6a;--md-green-500: #4caf50;--md-green-600: #43a047;--md-green-700: #388e3c;--md-green-800: #2e7d32;--md-green-900: #1b5e20;--md-green-A100: #b9f6ca;--md-green-A200: #69f0ae;--md-green-A400: #00e676;--md-green-A700: #00c853;--md-light-green-50: #f1f8e9;--md-light-green-100: #dcedc8;--md-light-green-200: #c5e1a5;--md-light-green-300: #aed581;--md-light-green-400: #9ccc65;--md-light-green-500: #8bc34a;--md-light-green-600: #7cb342;--md-light-green-700: #689f38;--md-light-green-800: #558b2f;--md-light-green-900: #33691e;--md-light-green-A100: #ccff90;--md-light-green-A200: #b2ff59;--md-light-green-A400: #76ff03;--md-light-green-A700: #64dd17;--md-lime-50: #f9fbe7;--md-lime-100: #f0f4c3;--md-lime-200: #e6ee9c;--md-lime-300: #dce775;--md-lime-400: #d4e157;--md-lime-500: #cddc39;--md-lime-600: #c0ca33;--md-lime-700: #afb42b;--md-lime-800: #9e9d24;--md-lime-900: #827717;--md-lime-A100: #f4ff81;--md-lime-A200: #eeff41;--md-lime-A400: #c6ff00;--md-lime-A700: #aeea00;--md-yellow-50: #fffde7;--md-yellow-100: #fff9c4;--md-yellow-200: #fff59d;--md-yellow-300: #fff176;--md-yellow-400: #ffee58;--md-yellow-500: #ffeb3b;--md-yellow-600: #fdd835;--md-yellow-700: #fbc02d;--md-yellow-800: #f9a825;--md-yellow-900: #f57f17;--md-yellow-A100: #ffff8d;--md-yellow-A200: #ffff00;--md-yellow-A400: #ffea00;--md-yellow-A700: #ffd600;--md-amber-50: #fff8e1;--md-amber-100: #ffecb3;--md-amber-200: #ffe082;--md-amber-300: #ffd54f;--md-amber-400: #ffca28;--md-amber-500: #ffc107;--md-amber-600: #ffb300;--md-amber-700: #ffa000;--md-amber-800: #ff8f00;--md-amber-900: #ff6f00;--md-amber-A100: #ffe57f;--md-amber-A200: #ffd740;--md-amber-A400: #ffc400;--md-amber-A700: #ffab00;--md-orange-50: #fff3e0;--md-orange-100: #ffe0b2;--md-orange-200: #ffcc80;--md-orange-300: #ffb74d;--md-orange-400: #ffa726;--md-orange-500: #ff9800;--md-orange-600: #fb8c00;--md-orange-700: #f57c00;--md-orange-800: #ef6c00;--md-orange-900: #e65100;--md-orange-A100: #ffd180;--md-orange-A200: #ffab40;--md-orange-A400: #ff9100;--md-orange-A700: #ff6d00;--md-deep-orange-50: #fbe9e7;--md-deep-orange-100: #ffccbc;--md-deep-orange-200: #ffab91;--md-deep-orange-300: #ff8a65;--md-deep-orange-400: #ff7043;--md-deep-orange-500: #ff5722;--md-deep-orange-600: #f4511e;--md-deep-orange-700: #e64a19;--md-deep-orange-800: #d84315;--md-deep-orange-900: #bf360c;--md-deep-orange-A100: #ff9e80;--md-deep-orange-A200: #ff6e40;--md-deep-orange-A400: #ff3d00;--md-deep-orange-A700: #dd2c00;--md-brown-50: #efebe9;--md-brown-100: #d7ccc8;--md-brown-200: #bcaaa4;--md-brown-300: #a1887f;--md-brown-400: #8d6e63;--md-brown-500: #795548;--md-brown-600: #6d4c41;--md-brown-700: #5d4037;--md-brown-800: #4e342e;--md-brown-900: #3e2723;--md-grey-50: #fafafa;--md-grey-100: #f5f5f5;--md-grey-200: #eeeeee;--md-grey-300: #e0e0e0;--md-grey-400: #bdbdbd;--md-grey-500: #9e9e9e;--md-grey-600: #757575;--md-grey-700: #616161;--md-grey-800: #424242;--md-grey-900: #212121;--md-blue-grey-50: #eceff1;--md-blue-grey-100: #cfd8dc;--md-blue-grey-200: #b0bec5;--md-blue-grey-300: #90a4ae;--md-blue-grey-400: #78909c;--md-blue-grey-500: #607d8b;--md-blue-grey-600: #546e7a;--md-blue-grey-700: #455a64;--md-blue-grey-800: #37474f;--md-blue-grey-900: #263238}.jupyter-wrapper{/*!

Copyright 2015-present Palantir Technologies, Inc. All rights reserved.
Licensed under the Apache License, Version 2.0.

*//*!

Copyright 2017-present Palantir Technologies, Inc. All rights reserved.
Licensed under the Apache License, Version 2.0.

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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">import</span> <span class="nn">sys</span>
<span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s2">&quot;../../FinNLP&quot;</span><span class="p">)</span>
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<h3 id="eastmoney">Eastmoney<a class="anchor-link" href="#eastmoney">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.eastmoney_streaming</span> <span class="kn">import</span> <span class="n">Eastmoney_Streaming</span>
</pre></div>
<div id="cell-2" class="clipboard-copy-txt">from finnlp.data_sources.social_media.eastmoney_streaming import Eastmoney_Streaming</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">pages</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;600519&quot;</span>
</pre></div>
<div id="cell-3" class="clipboard-copy-txt">pages = 3
stock = "600519"</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Eastmoney_Streaming</span><span class="p">()</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_stock</span><span class="p">(</span><span class="n">stock</span><span class="p">,</span> <span class="n">pages</span><span class="p">)</span>
</pre></div>
<div id="cell-4" class="clipboard-copy-txt">downloader = Eastmoney_Streaming()
downloader.download_streaming_stock(stock, pages)</div>
        
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<pre>Downloading ... 0 1 2 </pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="o">.</span><span class="n">shape</span>
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<div id="cell-5" class="clipboard-copy-txt">downloader.dataframe.shape</div>
        
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<pre>(241, 92)</pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
</pre></div>
<div id="cell-6" class="clipboard-copy-txt">downloader.dataframe.head(1)</div>
        
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>post_id</th>
      <th>post_title</th>
      <th>stockbar_code</th>
      <th>stockbar_name</th>
      <th>stockbar_type</th>
      <th>user_id</th>
      <th>user_nickname</th>
      <th>user_extendinfos</th>
      <th>post_click_count</th>
      <th>post_forward_count</th>
      <th>...</th>
      <th>relate_topic</th>
      <th>zwpage_flag</th>
      <th>source_post_comment_count</th>
      <th>post_atuser</th>
      <th>reply_list</th>
      <th>content_type</th>
      <th>repost_state</th>
      <th>reptile_state</th>
      <th>allow_likes_state</th>
      <th>post_is_hot</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1324058647</td>
      <td>贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元</td>
      <td>600519</td>
      <td>贵州茅台吧</td>
      <td>100.0</td>
      <td>7344113638256342</td>
      <td>贵州茅台资讯</td>
      <td>{'user_accreditinfos': None, 'deactive': '0', ...</td>
      <td>3799</td>
      <td>14</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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<p>1 rows × 92 columns</p>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">selected_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;post_title&quot;</span><span class="p">,</span><span class="s2">&quot;user_nickname&quot;</span><span class="p">,</span> <span class="s2">&quot;stockbar_name&quot;</span> <span class="p">,</span><span class="s2">&quot;post_click_count&quot;</span><span class="p">,</span> <span class="s2">&quot;post_forward_count&quot;</span><span class="p">,</span> <span class="s2">&quot;post_comment_count&quot;</span><span class="p">,</span> <span class="s2">&quot;post_publish_time&quot;</span><span class="p">,</span> <span class="s2">&quot;post_last_time&quot;</span><span class="p">,</span> <span class="s2">&quot;post_display_time&quot;</span><span class="p">]</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="p">[</span><span class="n">selected_columns</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-7" class="clipboard-copy-txt">selected_columns = ["post_title","user_nickname", "stockbar_name" ,"post_click_count", "post_forward_count", "post_comment_count", "post_publish_time", "post_last_time", "post_display_time"]
downloader.dataframe[selected_columns].head(10)</div>
        
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        text-align: right;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>post_title</th>
      <th>user_nickname</th>
      <th>stockbar_name</th>
      <th>post_click_count</th>
      <th>post_forward_count</th>
      <th>post_comment_count</th>
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      <th>post_last_time</th>
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      <th>0</th>
      <td>贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元</td>
      <td>贵州茅台资讯</td>
      <td>贵州茅台吧</td>
      <td>3799</td>
      <td>14</td>
      <td>15</td>
      <td>2023-06-25 22:17:50</td>
      <td>2023-06-26 03:12:47</td>
      <td>2023-06-25 22:17:50</td>
    </tr>
    <tr>
      <th>1</th>
      <td>贵州茅台:贵州茅台2022年年度权益分派实施公告</td>
      <td>贵州茅台资讯</td>
      <td>贵州茅台吧</td>
      <td>6423</td>
      <td>47</td>
      <td>17</td>
      <td>2023-06-25 15:32:42</td>
      <td>2023-06-26 00:57:39</td>
      <td>2023-06-26 00:00:00</td>
    </tr>
    <tr>
      <th>2</th>
      <td>将派发现金红利325.49亿元！贵州茅台上市以来累计分红超2000亿元</td>
      <td>贵州茅台资讯</td>
      <td>贵州茅台吧</td>
      <td>460</td>
      <td>1</td>
      <td>0</td>
      <td>2023-06-25 23:49:07</td>
      <td>2023-06-25 23:49:07</td>
      <td>2023-06-25 23:49:07</td>
    </tr>
    <tr>
      <th>3</th>
      <td>茅台冰淇淋悄然卖数亿 年轻市场真被抓住了吗</td>
      <td>贵州茅台资讯</td>
      <td>贵州茅台吧</td>
      <td>2612</td>
      <td>15</td>
      <td>11</td>
      <td>2023-06-24 07:03:53</td>
      <td>2023-06-25 18:48:21</td>
      <td>2023-06-24 07:03:53</td>
    </tr>
    <tr>
      <th>4</th>
      <td>白酒本周跌5.49%原因是什么？下周怎么看？</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>10197</td>
      <td>4</td>
      <td>25</td>
      <td>2023-06-24 12:29:53</td>
      <td>2023-06-25 23:12:49</td>
      <td>2023-06-24 12:29:53</td>
    </tr>
    <tr>
      <th>5</th>
      <td>本周持仓与下周交易计划</td>
      <td>满仓日记</td>
      <td>财富号评论吧</td>
      <td>547</td>
      <td>2</td>
      <td>1</td>
      <td>2023-06-25 20:30:54</td>
      <td>2023-06-26 03:19:08</td>
      <td>2023-06-25 20:30:54</td>
    </tr>
    <tr>
      <th>6</th>
      <td>茅台酒的估值真的是高</td>
      <td>菩萨小跟班888</td>
      <td>贵州茅台吧</td>
      <td>33</td>
      <td>0</td>
      <td>0</td>
      <td>2023-06-26 03:02:14</td>
      <td>2023-06-26 03:02:14</td>
      <td>2023-06-26 03:02:14</td>
    </tr>
    <tr>
      <th>7</th>
      <td>茅台里面的资金估计要出来支持一些中小微企业政策导向[吃瓜]</td>
      <td>菩萨小跟班888</td>
      <td>贵州茅台吧</td>
      <td>24</td>
      <td>0</td>
      <td>0</td>
      <td>2023-06-26 01:50:12</td>
      <td>2023-06-26 01:50:12</td>
      <td>2023-06-26 01:50:12</td>
    </tr>
    <tr>
      <th>8</th>
      <td>每股市值收益率，还没有银行定期利息高呢。（远离泡沫浮云地震带）</td>
      <td>章鱼帝的智慧</td>
      <td>贵州茅台吧</td>
      <td>33</td>
      <td>0</td>
      <td>1</td>
      <td>2023-06-25 22:48:49</td>
      <td>2023-06-26 01:20:04</td>
      <td>2023-06-25 22:48:49</td>
    </tr>
    <tr>
      <th>9</th>
      <td>6月最后的倔强（浪潮信息，昆仑万维，鸿博股份）赛道复苏。</td>
      <td>夏夏爱美丽</td>
      <td>财富号评论吧</td>
      <td>2459</td>
      <td>0</td>
      <td>34</td>
      <td>2023-06-25 22:16:03</td>
      <td>2023-06-26 00:45:53</td>
      <td>2023-06-25 22:16:03</td>
    </tr>
  </tbody>
</table>
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<h3 id="facebook-get-cookies">Facebook get cookies<a class="anchor-link" href="#facebook-get-cookies">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">selenium</span> <span class="kn">import</span> <span class="n">webdriver</span>
<span class="kn">import</span> <span class="nn">json</span>

<span class="n">browser</span> <span class="o">=</span> <span class="n">webdriver</span><span class="o">.</span><span class="n">ChromiumEdge</span><span class="p">()</span>
<span class="n">browser</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;https://www.facebook.com&#39;</span><span class="p">)</span>
</pre></div>
<div id="cell-8" class="clipboard-copy-txt">from selenium import webdriver
import json

browser = webdriver.ChromiumEdge()
browser.get('https://www.facebook.com')
</div>
        
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<h4 id="please-login-your-account-in-the-brower">Please login your account in the brower<a class="anchor-link" href="#please-login-your-account-in-the-brower">&#182;</a></h4>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">cookies</span> <span class="o">=</span> <span class="n">browser</span><span class="o">.</span><span class="n">get_cookies</span><span class="p">()</span> 
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;cookies.json&quot;</span><span class="p">,</span> <span class="s2">&quot;w&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">cks</span><span class="p">:</span>
    <span class="n">json</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">cookies</span><span class="p">,</span> <span class="n">cks</span><span class="p">)</span>
</pre></div>
<div id="cell-9" class="clipboard-copy-txt">cookies = browser.get_cookies() 
with open("cookies.json", "w", encoding="utf-8") as cks:
    json.dump(cookies, cks)</div>
        
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<h3 id="facebook">Facebook<a class="anchor-link" href="#facebook">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.facebook_streaming</span> <span class="kn">import</span> <span class="n">Facebook_Streaming</span>
<span class="kn">import</span> <span class="nn">json</span>
</pre></div>
<div id="cell-10" class="clipboard-copy-txt">from finnlp.data_sources.social_media.facebook_streaming import Facebook_Streaming
import json</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="c1"># load cookies</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">&quot;cookies.json&quot;</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">cks</span><span class="p">:</span> 
    <span class="n">cookies</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">cks</span><span class="p">)</span>
</pre></div>
<div id="cell-11" class="clipboard-copy-txt"># load cookies
with open("cookies.json", "r", encoding="utf-8") as cks: 
    cookies = json.load(cks)</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;cookies&quot;</span><span class="p">:</span><span class="n">cookies</span><span class="p">,</span> 
    <span class="s2">&quot;headless&quot;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
    <span class="s2">&quot;stealth_path&quot;</span><span class="p">:</span><span class="s2">&quot;../../FinNLP/finnlp/data_sources/social_media/stealth.min.js&quot;</span>
    <span class="p">}</span>
<span class="n">pages</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;AAPL&quot;</span>
</pre></div>
<div id="cell-12" class="clipboard-copy-txt">config = {
    "cookies":cookies, 
    "headless": False,
    "stealth_path":"../../FinNLP/finnlp/data_sources/social_media/stealth.min.js"
    }
pages = 3
stock = "AAPL"</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Facebook_Streaming</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_stock</span><span class="p">(</span><span class="n">stock</span><span class="p">,</span> <span class="n">pages</span><span class="p">)</span>
</pre></div>
<div id="cell-13" class="clipboard-copy-txt">downloader = Facebook_Streaming(config)
downloader.download_streaming_stock(stock, pages)</div>
        
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<pre>100%|██████████| 17/17 [00:57&lt;00:00,  3.37s/it]</pre>
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<pre>Only support the first page now!
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span>
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      <th>6</th>
      <td>AAPL (Stock Market)</td>
      <td>4h󰞋󰙷</td>
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      <td>Day 7\nIntroduction to Stock Market\nWhat you ...</td>
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<h3 id="xueqiu">Xueqiu / &#38634;&#29699;<a class="anchor-link" href="#xueqiu">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.xueqiu_streaming</span> <span class="kn">import</span> <span class="n">Xueqiu_Streaming</span>
</pre></div>
<div id="cell-15" class="clipboard-copy-txt">from finnlp.data_sources.social_media.xueqiu_streaming import Xueqiu_Streaming</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">pages</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;茅台&quot;</span>
</pre></div>
<div id="cell-16" class="clipboard-copy-txt">pages = 3
stock = "茅台"</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Xueqiu_Streaming</span><span class="p">()</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_stock</span><span class="p">(</span><span class="n">stock</span><span class="p">,</span> <span class="n">pages</span><span class="p">)</span>
</pre></div>
<div id="cell-17" class="clipboard-copy-txt">downloader = Xueqiu_Streaming()
downloader.download_streaming_stock(stock, pages)</div>
        
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<pre>Downloading ... 0 1 2 </pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="o">.</span><span class="n">shape</span>
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<div id="cell-18" class="clipboard-copy-txt">downloader.dataframe.shape</div>
        
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<pre>(29, 53)</pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
</pre></div>
<div id="cell-19" class="clipboard-copy-txt">downloader.dataframe.head(1)</div>
        
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    .dataframe tbody tr th:only-of-type {
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        vertical-align: top;
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        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>blocked</th>
      <th>blocking</th>
      <th>canEdit</th>
      <th>commentId</th>
      <th>controversial</th>
      <th>created_at</th>
      <th>description</th>
      <th>donate_count</th>
      <th>donate_snowcoin</th>
      <th>editable</th>
      <th>...</th>
      <th>truncated_by</th>
      <th>type</th>
      <th>user</th>
      <th>user_id</th>
      <th>view_count</th>
      <th>firstImg</th>
      <th>pic_sizes</th>
      <th>edited_at</th>
      <th>quote_cards</th>
      <th>symbol_id</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>False</td>
      <td>False</td>
      <td>True</td>
      <td>0</td>
      <td>False</td>
      <td>2023-06-25 12:15:07</td>
      <td>&lt;a href="http://xueqiu.com/S/SZ000860" target=...</td>
      <td>0</td>
      <td>0</td>
      <td>True</td>
      <td>...</td>
      <td>0</td>
      <td>2</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
      <td>8364804052</td>
      <td>471</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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<p>1 rows × 53 columns</p>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">selected_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;created_at&quot;</span><span class="p">,</span> <span class="s2">&quot;description&quot;</span><span class="p">,</span> <span class="s2">&quot;title&quot;</span><span class="p">,</span> <span class="s2">&quot;text&quot;</span><span class="p">,</span> <span class="s2">&quot;target&quot;</span><span class="p">,</span> <span class="s2">&quot;source&quot;</span><span class="p">,</span> <span class="s2">&quot;user&quot;</span><span class="p">]</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span><span class="p">[</span><span class="n">selected_columns</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-20" class="clipboard-copy-txt">selected_columns = ["created_at", "description", "title", "text", "target", "source", "user"]
downloader.dataframe[selected_columns].head(10)</div>
        
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  <thead>
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      <th></th>
      <th>created_at</th>
      <th>description</th>
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      <th>target</th>
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      <th>0</th>
      <td>2023-06-25 12:15:07</td>
      <td>&lt;a href="http://xueqiu.com/S/SZ000860" target=...</td>
      <td></td>
      <td>&lt;a href="http://xueqiu.com/S/SZ000860" target=...</td>
      <td>/8364804052/253976413</td>
      <td>Android</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2023-06-25 12:14:22</td>
      <td>&lt;a href="http://xueqiu.com/S/SH600519" target=...</td>
      <td></td>
      <td>&lt;p&gt;&lt;a href="http://xueqiu.com/S/SH600519" targ...</td>
      <td>/4631817224/253976390</td>
      <td>雪球</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2023-06-25 12:13:01</td>
      <td>...提高。白酒：五粮液、迎驾贡酒、&lt;span class='highlight'&gt;茅台&lt;/...</td>
      <td>6.25 赛道和白马的机会</td>
      <td>&lt;p&gt;这个假期外围的环境不太好，已经是基本共识了。明天开盘大A承压低开也基本是一致预期。这么...</td>
      <td>/4322952939/253976335</td>
      <td>雪球</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2023-06-25 11:58:55</td>
      <td>茅台发生活费了</td>
      <td></td>
      <td>茅台发生活费了&lt;br/&gt;&lt;img class="ke_img" src="https://x...</td>
      <td>/4653939718/253975764</td>
      <td>iPhone</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2023-06-25 11:54:05</td>
      <td>...业绩及股价，形成正反馈。当年&lt;span class='highlight'&gt;茅台&lt;/s...</td>
      <td>持仓吹票，共同致富</td>
      <td>&lt;p&gt;&lt;a href="http://xueqiu.com/k?q=%23%E4%BB%A5...</td>
      <td>/8113901491/253975613</td>
      <td>Android</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>5</th>
      <td>2023-06-25 11:50:11</td>
      <td>微酒酒业快讯，6月25日，酒业新闻一览-·企业动态·-01&lt;span class='high...</td>
      <td>6.25：&lt;span class='highlight'&gt;茅&lt;/span&gt;&lt;span cla...</td>
      <td>&lt;p&gt;&lt;img class="ke_img" src="https://xqimg.imed...</td>
      <td>/3615583399/253975485</td>
      <td>雪球</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>6</th>
      <td>2023-06-25 11:48:42</td>
      <td>&lt;a href="http://xueqiu.com/S/SH603027" target=...</td>
      <td></td>
      <td>&lt;a href="http://xueqiu.com/S/SH603027" target=...</td>
      <td>/2659542807/253975430</td>
      <td>iPhone</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>7</th>
      <td>2023-06-25 11:45:54</td>
      <td>段永平说：我不鼓励小散投&lt;a href="https://xueqiu.com/S/AAPL...</td>
      <td></td>
      <td>段永平说：我不鼓励小散投&lt;a href="https://xueqiu.com/S/AAPL...</td>
      <td>/9456980430/253975338</td>
      <td>iPhone</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>8</th>
      <td>2023-06-25 11:33:01</td>
      <td>泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。&lt;br/...</td>
      <td></td>
      <td>泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。&lt;br/...</td>
      <td>/9893982765/253974916</td>
      <td>Android</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
    <tr>
      <th>9</th>
      <td>2023-06-25 11:25:44</td>
      <td>...酒店中，白酒卖得最好的往往不是&lt;span class='highlight'&gt;茅台&lt;/...</td>
      <td>街头没生意的烟酒店，为什么不会倒闭</td>
      <td>&lt;p&gt;&lt;img class="ke_img" src="https://xqimg.imed...</td>
      <td>/5497522856/253974630</td>
      <td>雪球</td>
      <td>{'allow_all_stock': False, 'block_status': 0, ...</td>
    </tr>
  </tbody>
</table>
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<h3 id="stocktwits-streaming">Stocktwits Streaming<a class="anchor-link" href="#stocktwits-streaming">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.stocktwits_streaming</span> <span class="kn">import</span> <span class="n">Stocktwits_Streaming</span>
</pre></div>
<div id="cell-21" class="clipboard-copy-txt">from finnlp.data_sources.social_media.stocktwits_streaming import Stocktwits_Streaming</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">pages</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;AAPL&quot;</span>
<span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;use_proxy&quot;</span><span class="p">:</span> <span class="s2">&quot;us_free&quot;</span><span class="p">,</span>
    <span class="s2">&quot;max_retry&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;proxy_pages&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>
<div id="cell-22" class="clipboard-copy-txt">pages = 3
stock = "AAPL"
config = {
    "use_proxy": "us_free",
    "max_retry": 5,
    "proxy_pages": 2,
}</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Stocktwits_Streaming</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_stock</span><span class="p">(</span><span class="n">stock</span><span class="p">,</span> <span class="n">pages</span><span class="p">)</span>
</pre></div>
<div id="cell-23" class="clipboard-copy-txt">downloader = Stocktwits_Streaming(config)
downloader.download_streaming_stock(stock, pages)</div>
        
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<pre>Checking ips: 100%|██████████| 30/30 [01:07&lt;00:00,  2.24s/it]
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<pre>Get proxy ips: 30.
Usable proxy ips: 29.
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<pre>100%|██████████| 3/3 [00:05&lt;00:00,  1.68s/it]
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
<div id="cell-24" class="clipboard-copy-txt">df = downloader.dataframe
df.head(2)</div>
        
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    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>body</th>
      <th>created_at</th>
      <th>user</th>
      <th>source</th>
      <th>symbols</th>
      <th>prices</th>
      <th>mentioned_users</th>
      <th>entities</th>
      <th>liked_by_self</th>
      <th>reshared_by_self</th>
      <th>links</th>
      <th>reshare_message</th>
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    <tr>
      <th>0</th>
      <td>522005335</td>
      <td>NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL...</td>
      <td>2023-04-07T15:24:22Z</td>
      <td>{'id': 4744627, 'username': 'JavierAyala', 'na...</td>
      <td>{'id': 1149, 'title': 'StockTwits for iOS', 'u...</td>
      <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>
      <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>
      <td>[]</td>
      <td>{'sentiment': None}</td>
      <td>False</td>
      <td>False</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>522004768</td>
      <td>$AAPL $SPY  \n \nhttps://amp.scmp.com/news/chi...</td>
      <td>2023-04-07T15:17:43Z</td>
      <td>{'id': 6330207, 'username': 'PlainFacts_2121',...</td>
      <td>{'id': 2269, 'title': 'StockTwits Web', 'url':...</td>
      <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>
      <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>
      <td>[]</td>
      <td>{'sentiment': None}</td>
      <td>False</td>
      <td>False</td>
      <td>[{'title': 'China officials who abused health ...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">selected_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;created_at&quot;</span><span class="p">,</span> <span class="s2">&quot;body&quot;</span><span class="p">]</span>
<span class="n">df</span><span class="p">[</span><span class="n">selected_columns</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-25" class="clipboard-copy-txt">selected_columns = ["created_at", "body"]
df[selected_columns].head(10)</div>
        
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<table border="1" class="dataframe">
  <thead>
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      <th>created_at</th>
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  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2023-04-07T15:24:22Z</td>
      <td>NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2023-04-07T15:17:43Z</td>
      <td>$AAPL $SPY  \n \nhttps://amp.scmp.com/news/chi...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2023-04-07T15:17:25Z</td>
      <td>$AAPL $GOOG $AMZN  I took a Trump today. \n\nH...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2023-04-07T15:16:54Z</td>
      <td>$SPY $AAPL will take this baby down, time for ...</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2023-04-07T15:11:37Z</td>
      <td>$SPY $3T  it ALREADY DID - look at the pre-COV...</td>
    </tr>
    <tr>
      <th>5</th>
      <td>2023-04-07T15:10:29Z</td>
      <td>$AAPL $QQQ $STUDY We are on to the next one! A...</td>
    </tr>
    <tr>
      <th>6</th>
      <td>2023-04-07T15:06:00Z</td>
      <td>$AAPL was analyzed by 48 analysts. The buy con...</td>
    </tr>
    <tr>
      <th>7</th>
      <td>2023-04-07T14:54:29Z</td>
      <td>$AAPL both retiring. \n \nCraig....</td>
    </tr>
    <tr>
      <th>8</th>
      <td>2023-04-07T14:40:06Z</td>
      <td>$SPY $QQQ $TSLA $AAPL SPY 500 HAS STARTED🚀😍 BI...</td>
    </tr>
    <tr>
      <th>9</th>
      <td>2023-04-07T14:38:57Z</td>
      <td>Nancy 🩵 (Tim) $AAPL</td>
    </tr>
  </tbody>
</table>
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<h3 id="reddit-wallstreetbets-streaming">Reddit Wallstreetbets Streaming<a class="anchor-link" href="#reddit-wallstreetbets-streaming">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.reddit_streaming</span> <span class="kn">import</span> <span class="n">Reddit_Streaming</span>
</pre></div>
<div id="cell-26" class="clipboard-copy-txt">from finnlp.data_sources.social_media.reddit_streaming import Reddit_Streaming</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">pages</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
    <span class="c1"># &quot;use_proxy&quot;: &quot;us_free&quot;,</span>
    <span class="s2">&quot;max_retry&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;proxy_pages&quot;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>
<div id="cell-27" class="clipboard-copy-txt">pages = 3
config = {
    # "use_proxy": "us_free",
    "max_retry": 5,
    "proxy_pages": 2,
}</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Reddit_Streaming</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_all</span><span class="p">(</span><span class="n">pages</span><span class="p">)</span>
</pre></div>
<div id="cell-28" class="clipboard-copy-txt">downloader = Reddit_Streaming(config)
downloader.download_streaming_all(pages)</div>
        
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<pre>Downloading by pages...: 100%|██████████| 3/3 [00:08&lt;00:00,  2.83s/it]
</pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
<div id="cell-29" class="clipboard-copy-txt">df = downloader.dataframe
df.head(2)</div>
        
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>numComments</th>
      <th>created</th>
      <th>score</th>
      <th>distinguishType</th>
      <th>isLocked</th>
      <th>isStickied</th>
      <th>thumbnail</th>
      <th>title</th>
      <th>author</th>
      <th>...</th>
      <th>postEventInfo</th>
      <th>predictionTournament</th>
      <th>reactedFrom</th>
      <th>removedBy</th>
      <th>removedByCategory</th>
      <th>subreddit</th>
      <th>suggestedCommentSort</th>
      <th>topAwardedType</th>
      <th>url</th>
      <th>whitelistStatus</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>t3_12epaq0</td>
      <td>8</td>
      <td>1680881974000</td>
      <td>0</td>
      <td>None</td>
      <td>False</td>
      <td>False</td>
      <td>{'url': 'https://b.thumbs.redditmedia.com/W8hd...</td>
      <td>Y’all making me feel like spooderman</td>
      <td>ghostwholags</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>t3_zr9v10</td>
      <td>0</td>
      <td>1671595782000</td>
      <td>2</td>
      <td>None</td>
      <td>True</td>
      <td>False</td>
      <td>{'url': 'https://b.thumbs.redditmedia.com/dJqb...</td>
      <td>Do you track your investments in a spreadsheet...</td>
      <td>sharesight</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
<p>2 rows × 100 columns</p>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="n">df</span><span class="p">[</span><span class="s2">&quot;created&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;created&quot;</span><span class="p">],</span> <span class="n">unit</span> <span class="o">=</span> <span class="s2">&quot;ms&quot;</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
<div id="cell-30" class="clipboard-copy-txt">import pandas as pd
df["created"] = pd.to_datetime(df["created"], unit = "ms")
df.head(2)</div>
        
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>id</th>
      <th>numComments</th>
      <th>created</th>
      <th>score</th>
      <th>distinguishType</th>
      <th>isLocked</th>
      <th>isStickied</th>
      <th>thumbnail</th>
      <th>title</th>
      <th>author</th>
      <th>...</th>
      <th>postEventInfo</th>
      <th>predictionTournament</th>
      <th>reactedFrom</th>
      <th>removedBy</th>
      <th>removedByCategory</th>
      <th>subreddit</th>
      <th>suggestedCommentSort</th>
      <th>topAwardedType</th>
      <th>url</th>
      <th>whitelistStatus</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>t3_12epaq0</td>
      <td>8</td>
      <td>2023-04-07 15:39:34</td>
      <td>0</td>
      <td>None</td>
      <td>False</td>
      <td>False</td>
      <td>{'url': 'https://b.thumbs.redditmedia.com/W8hd...</td>
      <td>Y’all making me feel like spooderman</td>
      <td>ghostwholags</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>1</th>
      <td>t3_zr9v10</td>
      <td>0</td>
      <td>2022-12-21 04:09:42</td>
      <td>2</td>
      <td>None</td>
      <td>True</td>
      <td>False</td>
      <td>{'url': 'https://b.thumbs.redditmedia.com/dJqb...</td>
      <td>Do you track your investments in a spreadsheet...</td>
      <td>sharesight</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
<p>2 rows × 100 columns</p>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">selected_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;created&quot;</span><span class="p">,</span> <span class="s2">&quot;title&quot;</span><span class="p">]</span>
<span class="n">df</span><span class="p">[</span><span class="n">selected_columns</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-31" class="clipboard-copy-txt">selected_columns = ["created", "title"]
df[selected_columns].head(10)</div>
        
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<style scoped>
    .dataframe tbody tr th:only-of-type {
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    }

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        vertical-align: top;
    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>created</th>
      <th>title</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2023-04-07 15:39:34</td>
      <td>Y’all making me feel like spooderman</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2022-12-21 04:09:42</td>
      <td>Do you track your investments in a spreadsheet...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2022-12-21 04:09:42</td>
      <td>Do you track your investments in a spreadsheet...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2023-04-07 15:29:23</td>
      <td>Can a Blackberry holder get some help 🥺</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2023-04-07 14:49:55</td>
      <td>The week of CPI and FOMC Minutes… 4-6-23 SPY/ ...</td>
    </tr>
    <tr>
      <th>5</th>
      <td>2023-04-07 14:19:22</td>
      <td>Well let’s hope your job likes you, thanks Jerome</td>
    </tr>
    <tr>
      <th>6</th>
      <td>2023-04-07 14:06:32</td>
      <td>Does anyone else feel an overwhelming sense of...</td>
    </tr>
    <tr>
      <th>7</th>
      <td>2023-04-07 13:47:59</td>
      <td>Watermarked Jesus explains the market being cl...</td>
    </tr>
    <tr>
      <th>8</th>
      <td>2023-04-07 13:26:23</td>
      <td>Jobs report shows 236,000 gain in March. Hot l...</td>
    </tr>
    <tr>
      <th>9</th>
      <td>2023-04-07 13:07:15</td>
      <td>The recession is over! Let's buy more stocks!</td>
    </tr>
  </tbody>
</table>
</div>
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<h3 id="weibo-date-range">Weibo Date Range<a class="anchor-link" href="#weibo-date-range">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.weibo_date_range</span> <span class="kn">import</span> <span class="n">Weibo_Date_Range</span>
</pre></div>
<div id="cell-32" class="clipboard-copy-txt">from finnlp.data_sources.social_media.weibo_date_range import Weibo_Date_Range</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">start_date</span> <span class="o">=</span> <span class="s2">&quot;2016-01-01&quot;</span>
<span class="n">end_date</span> <span class="o">=</span> <span class="s2">&quot;2016-01-02&quot;</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;茅台&quot;</span>
<span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;use_proxy&quot;</span><span class="p">:</span> <span class="s2">&quot;china_free&quot;</span><span class="p">,</span>
    <span class="s2">&quot;max_retry&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;proxy_pages&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;cookies&quot;</span><span class="p">:</span> <span class="s2">&quot;Your_Login_Cookies&quot;</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>
<div id="cell-33" class="clipboard-copy-txt">start_date = "2016-01-01"
end_date = "2016-01-02"
stock = "茅台"
config = {
    "use_proxy": "china_free",
    "max_retry": 5,
    "proxy_pages": 5,
    "cookies": "Your_Login_Cookies",
}
</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Weibo_Date_Range</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_date_range_stock</span><span class="p">(</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">,</span> <span class="n">stock</span> <span class="o">=</span> <span class="n">stock</span><span class="p">)</span>
</pre></div>
<div id="cell-34" class="clipboard-copy-txt">downloader = Weibo_Date_Range(config)
downloader.download_date_range_stock(start_date, end_date, stock = stock)</div>
        
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<pre>Gathering free ips by pages...: 100%|██████████| 5/5 [00:09&lt;00:00,  1.95s/it]
Checking ips: 100%|██████████| 75/75 [01:23&lt;00:00,  1.11s/it]
</pre>
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<pre>获取到的代理ip数量: 75 。Get proxy ips: 75.
能用的代理数量： 13。Usable proxy ips: 13.
</pre>
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<pre>Downloading by dates...: 100%|██████████| 2/2 [01:03&lt;00:00, 31.56s/it]
</pre>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">()</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-35" class="clipboard-copy-txt">df = downloader.dataframe
df = df.drop_duplicates()
df.head(10)</div>
        
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        vertical-align: top;
    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>date</th>
      <th>date_content</th>
      <th>source</th>
      <th>content</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2016-01-01</td>
      <td>2016年01月01日23:41</td>
      <td>Moto X</td>
      <td>#舆论之锤#唯品会发声明证实销售假茅台-手机腾讯网O网页链接分享来自浏览器！</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2016-01-01</td>
      <td>2016年01月01日22:57</td>
      <td>新浪博客</td>
      <td>2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原...</td>
    </tr>
    <tr>
      <th>6</th>
      <td>2016-01-01</td>
      <td>2016年01月01日22:56</td>
      <td>新浪博客</td>
      <td>2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原...</td>
    </tr>
    <tr>
      <th>17</th>
      <td>2016-01-01</td>
      <td>2016年01月01日22:40</td>
      <td>五蕴皆崆Android</td>
      <td>开心，今天喝了两斤酒（茅台+扎二）三个人，开心！</td>
    </tr>
    <tr>
      <th>18</th>
      <td>2016-01-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>一家专卖假货的网站某宝，你该学学了！//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品...</td>
    </tr>
    <tr>
      <th>19</th>
      <td>2016-01-01</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>一家专卖假货的网站//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品会售假茅台：供货商...</td>
    </tr>
    <tr>
      <th>20</th>
      <td>2016-01-01</td>
      <td>2016年01月01日21:46</td>
      <td>360安全浏览器</td>
      <td>前几天说了几点不看好茅台的理由，今年过节喝点茅台支持下，个人口感，茅台比小五好喝，茅台依然是...</td>
    </tr>
    <tr>
      <th>21</th>
      <td>2016-01-01</td>
      <td>2016年01月01日21:44</td>
      <td>华为P8</td>
      <td>老杜酱酒已到货，从明天起正式在甘肃武威开卖。可以不相信我说的话，但一定不要怀疑@杜子建的为人...</td>
    </tr>
    <tr>
      <th>22</th>
      <td>2016-01-01</td>
      <td>2016年01月01日21:24</td>
      <td>华为Ascend P7</td>
      <td>【唯品会售假茅台后续：供货商被刑拘顾客获十倍补偿】此前，有网友投诉其在唯品会购买的茅台酒质量...</td>
    </tr>
    <tr>
      <th>23</th>
      <td>2016-01-01</td>
      <td>2016年01月01日21:16</td>
      <td>实得惠省钱网</td>
      <td>唯品会卖假茅台，供货商被刑拘，买家获十倍补偿8888元|此前，有网友在网络论坛发贴（唯品会宣...</td>
    </tr>
  </tbody>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">shape</span>
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<pre>(60, 4)</pre>
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<h3 id="weibo-streaming">Weibo Streaming<a class="anchor-link" href="#weibo-streaming">&#182;</a></h3>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="kn">from</span> <span class="nn">finnlp.data_sources.social_media.weibo_streaming</span> <span class="kn">import</span> <span class="n">Weibo_Streaming</span>
</pre></div>
<div id="cell-37" class="clipboard-copy-txt">from finnlp.data_sources.social_media.weibo_streaming import Weibo_Streaming</div>
        
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">rounds</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">stock</span> <span class="o">=</span> <span class="s2">&quot;茅台&quot;</span>
<span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;use_proxy&quot;</span><span class="p">:</span> <span class="s2">&quot;china_free&quot;</span><span class="p">,</span>
    <span class="s2">&quot;max_retry&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;proxy_pages&quot;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;cookies&quot;</span><span class="p">:</span> <span class="s2">&quot;Your_Login_Cookies&quot;</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>
<div id="cell-38" class="clipboard-copy-txt">rounds = 3
stock = "茅台"
config = {
    "use_proxy": "china_free",
    "max_retry": 5,
    "proxy_pages": 5,
    "cookies": "Your_Login_Cookies",
}
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">downloader</span> <span class="o">=</span> <span class="n">Weibo_Streaming</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
<span class="n">downloader</span><span class="o">.</span><span class="n">download_streaming_stock</span><span class="p">(</span><span class="n">stock</span> <span class="o">=</span> <span class="n">stock</span><span class="p">,</span> <span class="n">rounds</span> <span class="o">=</span> <span class="n">rounds</span><span class="p">)</span>
</pre></div>
<div id="cell-39" class="clipboard-copy-txt">downloader = Weibo_Streaming(config)
downloader.download_streaming_stock(stock = stock, rounds = rounds)</div>
        
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<pre>Gathering free ips by pages...: 100%|██████████| 5/5 [00:09&lt;00:00,  1.98s/it]
Checking ips: 100%|██████████| 75/75 [01:26&lt;00:00,  1.15s/it]
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<pre>获取到的代理ip数量: 75 。Get proxy ips: 75.
能用的代理数量： 19。Usable proxy ips: 19.
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<pre>Processing the text content and downloading the full passage...: 100%|██████████| 9/9 [00:00&lt;00:00, 64.89it/s]
Processing the text content and downloading the full passage...: 100%|██████████| 10/10 [00:09&lt;00:00,  1.07it/s]
Processing the text content and downloading the full passage...: 100%|██████████| 10/10 [00:02&lt;00:00,  4.93it/s]
Downloading by page..: 100%|██████████| 3/3 [00:19&lt;00:00,  6.46s/it]
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">downloader</span><span class="o">.</span><span class="n">dataframe</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
</pre></div>
<div id="cell-40" class="clipboard-copy-txt">df = downloader.dataframe
df.head(2)</div>
        
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>card_type</th>
      <th>display_followbtn</th>
      <th>mblog</th>
      <th>itemid</th>
      <th>actionlog</th>
      <th>cate_id</th>
      <th>display_arrow</th>
      <th>show_type</th>
      <th>scheme</th>
      <th>container_color</th>
      <th>container_color_dark</th>
      <th>content_short</th>
      <th>content</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>9</td>
      <td>False</td>
      <td>{'attitudes_count': 0, 'can_edit': False, 'com...</td>
      <td>seqid:187118896|type:61|t:|pos:1-0-0|q:茅台|srid...</td>
      <td>{'act_code': 554, 'ext': 'seqid:187118896|type...</td>
      <td>31</td>
      <td>0</td>
      <td>1</td>
      <td>https://m.weibo.cn/status/MAWMprpPp?mblogid=MA...</td>
      <td>#EEEEEE</td>
      <td>#151515</td>
      <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>
      <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>9</td>
      <td>False</td>
      <td>{'attitudes_count': 0, 'can_edit': False, 'com...</td>
      <td>seqid:187118896|type:61|t:|pos:1-0-1|q:茅台|srid...</td>
      <td>{'act_code': 554, 'ext': 'seqid:187118896|type...</td>
      <td>31</td>
      <td>0</td>
      <td>1</td>
      <td>https://m.weibo.cn/status/MAWHVDm0H?mblogid=MA...</td>
      <td>#EEEEEE</td>
      <td>#151515</td>
      <td>茅台茅台成都收4瓶飞天，自提</td>
      <td>茅台茅台成都收4瓶飞天，自提</td>
    </tr>
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</table>
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            <div class="highlight-ipynb hl-python "><pre><span></span><span class="n">selected_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;content_short&quot;</span><span class="p">,</span> <span class="s2">&quot;content&quot;</span><span class="p">]</span>
<span class="n">df</span><span class="p">[</span><span class="n">selected_columns</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>
<div id="cell-41" class="clipboard-copy-txt">selected_columns = ["content_short", "content"]
df[selected_columns].head(10)</div>
        
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      <th>0</th>
      <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>
      <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>
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    <tr>
      <th>1</th>
      <td>茅台茅台成都收4瓶飞天，自提</td>
      <td>茅台茅台成都收4瓶飞天，自提</td>
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      <th>2</th>
      <td>我可太喜欢茅台这个防伪了</td>
      <td>我可太喜欢茅台这个防伪了</td>
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      <th>3</th>
      <td>没想到 4S店的二楼 是卖茅台的吧</td>
      <td>没想到 4S店的二楼 是卖茅台的吧</td>
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      <td>买不起茅台，砸锅卖铁也得买得起茅台冰淇淋 许昌·胖东来时代广场</td>
      <td>买不起茅台，砸锅卖铁也得买得起茅台冰淇淋 许昌·胖东来时代广场</td>
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      <th>5</th>
      <td>xxx给我枇杷xxx给我蜂蜜 xxx偷茅台喝（假的）。我很喜欢自己家的产品，感觉很无害纯天然...</td>
      <td>xxx给我枇杷xxx给我蜂蜜 xxx偷茅台喝（假的）。我很喜欢自己家的产品，感觉很无害纯天然...</td>
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    <tr>
      <th>6</th>
      <td>茅台 奎屯出一只兔茅</td>
      <td>茅台 奎屯出一只兔茅</td>
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      <th>7</th>
      <td>2022胡润酒类品牌榜发布 2022胡润酒类品牌榜发布点评：与我印象中的有点出入。不出茅台和...</td>
      <td>2022胡润酒类品牌榜发布 2022胡润酒类品牌榜发布点评：与我印象中的有点出入。不出茅台和...</td>
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      <th>8</th>
      <td>41岁，很美妙！“爸爸生日快乐，吃个蛋糕🍰”小奶音听着上头。爱人，亲戚，朋友，草莓🍓，茅台+...</td>
      <td>41岁，很美妙！“爸爸生日快乐，吃个蛋糕🍰”小奶音听着上头。爱人，亲戚，朋友，草莓🍓，茅台+...</td>
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    <tr>
      <th>0</th>
      <td>吃到了茅台冰激淋也</td>
      <td>吃到了茅台冰激淋也</td>
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